The basic distributional theory for the product of zero mean correlated normal random variables

IF 1.4 3区 数学 Q2 STATISTICS & PROBABILITY Statistica Neerlandica Pub Date : 2021-06-05 DOI:10.1111/stan.12267
Robert E. Gaunt
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引用次数: 10

Abstract

The product of two zero mean correlated normal random variables, and more generally the sum of independent copies of such random variables, has received much attention in the statistics literature and appears in many application areas. However, many important distributional properties are yet to be recorded. This review paper fills this gap by providing the basic distributional theory for the sum of independent copies of the product of two zero mean correlated normal random variables. Properties covered include probability and cumulative distribution functions, generating functions, moments and cumulants, mode and median, Stein characterisations, representations in terms of other random variables, and a list of related distributions. We also review how the product of two zero mean correlated normal random variables arises naturally as a limiting distribution, with an example given for the distributional approximation of double Wiener‐Itô integrals.
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零均值相关正态随机变量积的基本分布理论
两个零均值相关的正态随机变量的乘积,更一般地说是这些随机变量的独立副本的和,在统计文献中受到了很多关注,并出现在许多应用领域。然而,许多重要的分布特性尚未被记录下来。本文通过提供两个零均值相关正态随机变量乘积的独立副本之和的基本分布理论来填补这一空白。涵盖的属性包括概率和累积分布函数,生成函数,矩和累积量,模式和中位数,斯坦因特征,其他随机变量的表示,以及相关分布的列表。我们还回顾了两个零均值相关正态随机变量的乘积如何自然地作为极限分布出现,并给出了一个二重Wiener‐Itô积分的分布近似的例子。
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来源期刊
Statistica Neerlandica
Statistica Neerlandica 数学-统计学与概率论
CiteScore
2.60
自引率
6.70%
发文量
26
审稿时长
>12 weeks
期刊介绍: Statistica Neerlandica has been the journal of the Netherlands Society for Statistics and Operations Research since 1946. It covers all areas of statistics, from theoretical to applied, with a special emphasis on mathematical statistics, statistics for the behavioural sciences and biostatistics. This wide scope is reflected by the expertise of the journal’s editors representing these areas. The diverse editorial board is committed to a fast and fair reviewing process, and will judge submissions on quality, correctness, relevance and originality. Statistica Neerlandica encourages transparency and reproducibility, and offers online resources to make data, code, simulation results and other additional materials publicly available.
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